What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
Type
conference contribution
Date Issued
2020-04
Author(s)
Editor(s)
The Web Conference
Abstract
In this work, we propose an automatic evaluation and comparison of the browsing behavior of Wikipedia readers that can be applied to any language editions of Wikipedia. As an example, we focus on English, French, and Russian languages during the last four months of 2018. The proposed method has three steps. Firstly, it extracts the most trending articles over a chosen period of time. Secondly, it performs a semi-supervised topic extraction and thirdly, it compares topics across languages. The automated processing works with the data that combines Wikipedia's graph of hyperlinks, pageview statistics and summaries of the pages. The results show that people share a common interest and curiosity for entertainment, e.g. movies, music, sports independently of their language. Differences appear in topics related to local events or about cultural particularities. Interactive visualizations showing clusters of trending pages in each language edition are available online https://wiki-insights.epfl.ch/wikitrends CCS CONCEPTS • Applied computing → Sociology; • Human-centered computing → Social content sharing; Social navigation; Wikis.
Language
English
Keywords
Wikipedia
networks
data mining
transformers
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3366424.3383567.pdf
Size
2.1 MB
Format
Adobe PDF
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